The Reinforcement Learning Competitions

By Shimon Whiteson, Brian Tanner, Adam White. 2010

47 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Reinforcement Learning, Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Control and Systems Engineering

In Reinforcement Learning

In Evaluation & Benchmarks

Citations in the corpus

The Arcade Learning Environment: An Evaluation Platform for General Agents (2012, background): “Starting in 2004 as a conference workshop, the Reinforcement Learning competition (Whiteson et al., 2010) was held until 2009 (a new iteration of the competition has been announced for 20134).”
Neuroevolutionary reinforcement learning for generalized control of simulated helicopters (2011, background): “:3) is simply a probability distribution over a set of tasks H : In the RL Competitions, G is not known to the participants.”
A video game description language for model-based or interactive learning (2013, background): “The library’s availability as an open-source package, under the non-restrictive BSD license, is an invitation for others to use and build upon it, for example to diversify RL competitions [24], [25], more generally to benchmark learning algorithms in the games domain, or even to use it in teaching.”
The Arcade Learning Environment: An Evaluation Platform for General Agents (Extended Abstract) (2015, background): “, 2005], Reinforcement Learning competition [Whiteson et al., 2010], and the International Planning competition [Coles et al.”
Reinforcement learning in feedback control (2011, background): “Benchmarking learning controllers has a long tradition (Anderson and Miller 1990) and has gained an increasing amount of interest in the last couple of years (Whiteson et al. 2010; Riedmiller et al. 2007b) (also see the website at www.”
The Reinforcement Learning Competition 2014 (2014, methodology): “At the first benchmarking event in 2005, there was no separation between training and testing, and consequently allowed considerable prior knowledge to be used (Whiteson, Tanner, and White 2010).”
Improved empirical methods in reinforcement-learning evaluation (2015, background): “In the Polyathlon, both the types of environments and individual MDP parameters were varied (Whiteson et al., 2010).”
Protecting against evaluation overfitting in empirical reinforcement learning (2011, background): “For example, consider the Generalized Helicopter Hovering environment [13], one of several generalized environments used in the recent Reinforcement Learning Competitions [14].”
Half Field Offense: An Environment for Multiagent Learning and Ad Hoc Teamwork (2016, background): “Reinforcement learning competitions [27] featuring these domains drive development of new algorithms and agents.”
The Malmo Platform for Artificial Intelligence Experimentation (2016, methodology): “Their proposal was ﬁst implemented in the Rein-forcement Learning Competitions [Whiteson et al. , 2010].”